Vin de Silva is mathematician specializing in applications of geometry and topology. Since the turn of the millennium, there has been a tremendous surge of interest in solving data analysis problems using classical ideas in geometry and algebraic topology. This has resulted in a richness of new mathematical technologies for studying scientific data sets. Dr de Silva has had the good fortune to work with many fine researchers around the world, publishing research in machine learning, topological data analysis, sensor networks, tensor decomposition, and persistent topology. He believes that a little geometric insight can sometimes go a long way.